• Journal of Preventive Medicine and Public Health
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• v.46 no.2
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• pp.74-81
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• 2013

Objectives: The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery. Methods: We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration. Results: The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1. Conclusions: The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.167-175
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• 2016

The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.818-821
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• 2002

In this paper, we propose Neuro-Fuzzy discrimination method of the new and old bill using bill money acoustic data. The concept of the histogram is introduced to improve the processing time into the proposal system. The adaptative filter is used in order to remove the motor sound from an observed bill money acoustic data. The output signal of this adaptive digital filter is converted into not only a spectrum but also a histogram. It became easy that features of the paper money sound were extracted from the bill money acoustic data. The spectral data and the histogram is obtained like this, and it become an input pattern of the neural network(NN). Then, the discrimination result of the NN is finally judged by the fuzzy inferece in the new bill or the exhaustion bill.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.1-6
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• 2006

This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1470-1472
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• 2003

Hyperion, as hyperspectral data, is carried on NASA’s EO-1 satellite, can be used in more subtle discrimination on forest cover, with 224 band in 360 ?2580 nm (10nm interval). In this study, Hyperion image is used to investigate the effects of topography on the classification of forest cover, and to assess whether the topographic correction improves the discrimination of species units for practical forest mapping. A publicly available Digital Elevation Model (DEM), at a scale of 1:25,000, is used to model the radiance variation on forest, considering MSR(Mean Spectral Ratio) on antithesis aspects. Hyperion, as hyperspectral data, is corrected on a pixel-by-pixel basis to normalize the scene to a uniform solar illumination and viewing geometry. As a result, the approach on topographic effect normalization in hyperspectral data can effectively reduce the variation in detected radiance due to changes in forest illumination, progress the classification of forest cover.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2003.09a
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• pp.13-19
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• 2003

Discriminant method using seismic signal was studied for discrimination of surface explosion. By means of the seismic spectral characteristics, multi-variate discriminant analysis was performed. Four single discriminant techniques - Pg/Lg, Lg1/Lg2, Pg1/Pg2, and Rg/Lg - based on seismic source theory were applied to explosion and earthquake training data sets. The Pg/Lg discriminant technique was most effective among the four techniques. Nevertheless, it could not perfectly discriminate the samples of the training data sets. In this study, a compound linear discriminant analysis was defined by using common characteristics of the training data sets for the single discriminants. The compound linear discriminant analysis was used for the single discriminant as an independent variable. From this analysis, all the samples of the training data sets were correctly discriminated, and the probability of misclassification was lowered to 0.7％.

• Korean Journal of Remote Sensing
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• v.23 no.4
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• pp.257-272
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• 2007

This paper analyzed relationships between various features from SAR data with multiple acquisition dates and mode (frequency, polarization and incidence angles), and land-cover classes. Two typical types of features were extracted by considering acquisition conditions of currently available SAR data. First, coherence, temporal variability and principal component transform-based features were extracted from multi-temporal and single mode SAR data. C-band ERS-1/2, ENVISAT ASAR and Radarsat-1, and L-band JERS-1 SAR data were used for those features and different characteristics of different SAR sensor data were discussed in terms of land-cover discrimination capability. Overall, tandem coherence showed the best discrimination capability among various features. Long-term coherence from C-band SAR data provided a useful information on the discrimination of urban areas from other classes. Paddy fields showed the highest temporal variability values in all SAR sensor data. Features from principal component transform contained particular information relevant to specific land-cover class. As features for multiple mode SAR data acquired at similar dates, polarization ratio and multi-channel variability were also considered. VH/VV polarization ratio was a useful feature for the discrimination of forest and dry fields in which the distributions of coherence and temporal variability were significantly overlapped. It would be expected that the case study results could be useful information on improvement of classification accuracy in land-cover classification with SAR data, provided that the main findings of this paper would be confirmed by extensive case studies based on multi-temporal SAR data with various modes and ground-based SAR experiments.

• Journal of the Korean Society of Child Welfare
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• no.55
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• pp.31-55
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• 2016

This study investigated the impact of the experience of being discriminated on their actual experience of discrimination, and verified the moderating effect of the education for human rights. The data used in this study were sampled from the 2014 children and youth human rights survey of Korea National Youth Policy Institute, and 4,023 students in middle or high school were selected for the final data analysis. The moderation model was analyzed by applying SPSS PROCESS macro. The analysis suggested the following. First, it was shown that the experience of being discriminated and the level of help and frequency of the education for human rights were significantly distinguished in the statistics. Second, even though the experience of being discriminated and the level of help of the education for human rights meaningfully influenced the experience of discrimination, frequency of education did not. Third, it was verified that the level of help from education of human rights moderates the relationship between the experience of discrimination and the experience of being discriminated. It also showed that the higher the level of help is, the more the experience of being discriminated exerts influence on the experience of discrimination. Thus, on the basis of the results, the theoretical discussion on the youth discrimination was drawn out and the practical implication on the direction of the education for human rights was suggested.

• 재활복지
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• v.21 no.1
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• pp.97-119
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• 2017

The objective of this study is to understand the influence of discrimination experience on life satisfaction of the employed hearing-impaired, and also to verify the mediating effects of self-esteem on relations between discrimination experience and life satisfaction. To achieve this objective, the data of the 8th Panel Survey of Employment for the Disabled was used, and then the extracted data of 234 employed hearing-impaired persons was used for analysis. The results of this study are like below. First, discrimination experience showed negative(-) relations with self-esteem and life satisfaction while self-esteem showed positive(+) relations with life satisfaction. Second, when the perception of discrimination experience was low, the life satisfaction was high. Third, the mediating effects of self-esteem were verified on relations between discrimination experience and life satisfaction. Marital status, health, social-economical position has effected on life satisfaction. Based on such results of the study, suggestions were made to increase life satisfaction of the hearing-impaired.

• Journal of the Korean Society of School Health
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• v.34 no.1
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• pp.22-32
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• 2021

Purpose: Discrimination experienced in the early stages of life among ethnic minority adolescents is known to affect depression and also adversely affect health throughout adulthood and old age. The purpose of this study was to identify whether discrimination experienced by ethnic minority adolescents and their mothers and depression among mothers affect depression in ethnic minority adolescents according to gender. Methods: This was a cross-sectional study using the data of 2018 National Multicultural Family Survey in Korea. The study sample comprised 2,446 ethnic minority adolescents aged 11~18 and their mothers. The data were analyzed using descriptive statistics, pearson correlation analysis, and ordinal logistic regression with SPSS/WIN 25.0 and STATA IC 16. Results: 18.4% of the adolescents (boys: 15.1%, girls: 20.5 %) felt sad or frustrated sometimes or more often for at least two weeks during the past year. Also, 8.3% of the adolescents and 29.6% of their mothers experienced discrimination during the past year. Boys were influenced more than girls by bullying at school (OR=5.17, 95% CI: 2.85~9.38), academic performance (very bad's OR=5.79, 95% CI: 1.54~21.63) and mother's depression (often's OR=2.31, 95% CI: 1.14~4.64). Girls were influenced more than boys by experience of discrimination (OR=2.72, 95% CI: 1.69~4.39). Conclusion: The findings showed that discrimination experienced by ethnic minority adolescents and their mothers in Korean society increases depression in ethnic minority adolescents and has different effects by gender. Therefore, a gender-specific and mother-inclusive intervention is recommended to prevent depression in ethnic minority adolescents.